International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 496 - 513

Personalized individual semantics based approach to MAGDM with the linguistic preference information on alternatives

Authors
Yuexuan Wang1, yxwang@stu.scu.edu.cn, Yucheng Dong1, ycdong@scu.edu.cn, Hengjie Zhang2, *, hengjiezhang@hhu.edu.cn, Yuan Gao1, gaoyuan1984@scu.edu.cn
1Business School, Sichuan University, Chengdu 610065, China
2Business School, Hohai University, Nanjing 211100, China
*Corresponding author
Corresponding Author
Received 11 June 2017, Accepted 5 January 2018, Available Online 22 January 2018.
DOI
10.2991/ijcis.11.1.37How to use a DOI?
Keywords
Computing with words; multiple attribute group decision making (MAGDM); personalized individual semantics (PIS); numerical scale
Abstract

Personalized individual semantics (PIS) exist widely in our daily life, and it means that different people have different understandings regarding the same word. In decision making, decision makers are accustomed to express their preferences using a linguistic way, and it is naturally that the PIS will influence the decision result in the linguistic decision making. In this paper, we propose a PIS-based MAGDM framework for multiple attribute group decision making (MAGDM) problems with the linguistic preference information on alternatives. In the novel framework, a two-stage based optimization model is constructed to deal with PIS by minimizing the deviation between objective preference information (i.e., multiple attribute decision matrix) and subjective preference information (i.e., linguistic preference relations over alternatives), and this optimization model is then transformed into a linear programming model that can be easily solved. Based on this, decision makers’ linguistic preference information can be transformed into numerical preference information for implementing the computation process. By fusing objective and subjective preference information, the collective solution of MAGDM problem can be obtained. The numerical and simulation experiments are conducted to verify the effectiveness of the proposal.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
496 - 513
Publication Date
2018/01/22
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.37How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Yuexuan Wang
AU  - Yucheng Dong
AU  - Hengjie Zhang
AU  - Yuan Gao
PY  - 2018
DA  - 2018/01/22
TI  - Personalized individual semantics based approach to MAGDM with the linguistic preference information on alternatives
JO  - International Journal of Computational Intelligence Systems
SP  - 496
EP  - 513
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.37
DO  - 10.2991/ijcis.11.1.37
ID  - Wang2018
ER  -